Wind mill energy conversion system (Matlab Project)

      This paper presents a full detailed modeling and a new  control scheme of a three-phase grid-connected wind energy conversion system (WECS).  The WECS model consists of a variable speed wind turbine generator and the electronic power conditioning  system is composed of a back-to-back AC-DC-AC power converter. The control consists of a multi-level hierarchical structure and incorporates a maximum power point tracker (MPPT) for best use of the wind  resource. In addition, reactive power compensation of the electric grid is included, operating simultaneously  and independently of the active power generation. A three-level voltage source inverter (VSI) is used as  interface with the AC power grid. Validation of models and control schemes is performed by using the  MATLAB/Simulink environment. Moreover, a 400 W WECS experimental set-up was employed to demonstrate the accuracy of proposed models and control algorithms

Image re-assembling (Matlab project)

    The problem of reassembling image fragments arises  in many scientific fields, such as forensics and archaeology. In the field of archaeology, the pictorial excavation findings  are almost always in the form of painting fragments.  The manual execution of this task is very difficult, as it  requires great amount of time, skill and effort. Thus, the  automation of such a work is very important and can lead  to faster, more efficient, painting reassembly and to a significant  reduction in the human effort involved. In this paper, an integrated  method for automatic color based 2-D image fragment reassembly  is presented. The proposed 2-D reassembly technique is divided into four steps. Initially, the image fragments which are  probably spatially adjacent, are identified utilizing techniques  employed in content based image retrieval systems. The second  operation is to identify the matching contour segments for every  retained couple of image fragments, via a dynamic programming technique. The next step is to identify the optimal transformation  in order to align the matching contour segments. Many registration  techniques have been evaluated to this end. Finally, the overall  image is reassembled from its properly aligned fragments. This is achieved via a novel algorithm, which exploits the alignment angles found during the previous step. In each stage, the most robust algorithms having the best performance are investigated and their results are fed to the next step. We have experimented with the proposed method using digitally scanned images of actual torn pieces of paper image prints and we produced very satisfactory reassembly results.

Image Compression (Matlab project)

For the past few years, a joint ISO/CCITT committee known as JPEG (Joint Photographic Experts Group) has been working to establish the first international compression standard for continuous-tone still images, both grayscale and color. JPEG’s proposed standard aims to be generic, to support a wide variety of applications for continuous-tone images. To meet the differing needs of many applications, the JPEG standard includes two basic compression methods, each with various modes of operation. A DCT-based method is specified for “lossy” compression, and a predictive method for “lossless” compression. JPEG features a simple lossy technique known as the Baseline method, a subset of the other DCT-based modes of operation. The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications. This article provides an overview of the JPEG standard, and focuses in detail on the Baseline method

Dual Protection of JPEG Images Based on Informed Embedding and Two-Stage Watermark Extraction Techniques (matlab project)

In this paper, the authors propose a watermarking scheme that embeds both image-dependent and fixed-part marks for dual protection (content authentication and copyright claim) of JPEG images. To achieve the goals of efficiency, imperceptibility, and robustness, a compressed-domain informed embedding algorithm, which incorporates the Lagrangian multiplier optimization approach and an adjustment procedure, is developed. A two-stage watermark extraction procedure is devised to achieve the functionality of dual protection. In the first stage, the semifragile watermark in each local channel is extracted for content authentication. Then, in the second stage, a weighted soft-decision decoder, which weights the signal detected in each channel according to the estimated channel condition, is used to improve the recovery rate of the fixed-part watermark for copyright protection. The experiment results manifest that the proposed scheme not only achieve dual protection of the image content, but also maintain higher visual quality (an average of 6.69 dB better than a comparable approach) for a specified level of watermark robustness. In addition, the overall computing load is low enough to be practical in real-time applications.